Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research

Jen Sim Ho, Booi Chen Tan*, Teck Chai Lau, Nasreen Khan

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

11 Citations (Scopus)

Abstract

In the current challenging and competitive dynamic business world today, automotive companies have been rapidly developing and promoting autonomous vehicles (AVs), which aim to reduce crashes, energy consumption, pollution, and congestion and increase transport accessibility. To ensure the successful adoption of AVs, an increasing number of studies have been conducted to understand public acceptance. This paper used the bibliometric technique to understand the distribution, emerging trend, and the research cluster in the context of AV technology acceptance through knowledge mapping. The Web of Science database was used to retrieve 401 scientific articles from 2000 to June 2022. The findings reported that the previous studies mainly focused on the research clusters related to the domains of attitude, trust, technology, impact, and models. Finally, this study added to the existing body of literature by providing the current knowledge landscape to guide the future research.

Original languageEnglish
Article number1566
JournalSustainability (Switzerland)
Volume15
Issue number2
DOIs
Publication statusPublished - Jan 2023
Externally publishedYes

Keywords

  • autonomous vehicle
  • bibliometric techniques
  • public acceptance
  • research trends

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